Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges

12 January 2022

Papers citing "Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges"

11 / 11 papers shown

Title
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security Mona Esmaeili Morteza Rahimi Hadise Pishdast Dorsa Farahmandazad Matin Khajavi Hadi Jabbari Saray 28 4 0 01 Oct 2024
A Survey on Data Quality Dimensions and Tools for Machine Learning Yuhan Zhou Fengjiao Tu Kewei Sha Junhua Ding Haihua Chen 36 4 0 28 Jun 2024
On Security Weaknesses and Vulnerabilities in Deep Learning Systems Zhongzheng Lai Huaming Chen Ruoxi Sun Yu Zhang Minhui Xue Dong Yuan AAML 41 2 0 12 Jun 2024
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 16 2 0 18 Jan 2023
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 22 22 0 03 Oct 2022
MLDemon: Deployment Monitoring for Machine Learning Systems Antonio A. Ginart Martin Jinye Zhang James Y. Zou 37 18 0 28 Apr 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps Yujin Huang Han Hu Chunyang Chen AAML FedML 72 33 0 12 Jan 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 26 15 0 08 Jan 2021
A Safety Framework for Critical Systems Utilising Deep Neural Networks Xingyu Zhao Alec Banks James Sharp Valentin Robu David Flynn Michael Fisher Xiaowei Huang AAML 50 47 0 07 Mar 2020
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 123 186 0 02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,031 0 29 Nov 2018